Applied Linear Regression for Longitudinal Data (Chapman & Hall/CRC Texts in Statistical Science)

This book introduces best practices in longitudinal data analysis at intermediate level, with a minimum number of formulas without sacrificing depths, while at the same time not requiring much prior knowledge about regression analysis. It meets the need to understand statistical concepts of longitudinal data analysis by visualizing important techniques instead of using abstract mathematical formulas. Different solutions such as multiple imputation are explained conceptually and consequences of missing observations (in the outcome and/or independent variables) are clarified using visualization techniques. Key Features: Provides datasets and example online; Gives state-of-the-art methods of dealing with missing observations in a non-technical way with a special focus on sensitivity analysis; Conceptualize the analysis of comparative (experimental and observational) studies. It is the ideal companion for researcher and students in epidemiological, health, and social and behavioural sciences working with longitudinal studies without a mathematical background--

• | Author: Frans E. S. Tan, Shahab Jolani
• | Publisher: Chapman And Hall/Crc
• | Publication Date: Dec 09, 2022
• | Number of Pages: 248 pages
• | Language: English
• | Binding: Hardcover
• | ISBN-10: 0367634317
• | ISBN-13: 9780367634315